(ENG)
J Soria
4 points + 22 lectures, 22 laboratory hours + Second semester + Clayton + Prerequisites: MAT2910 or MAT2901 + Prohibition: MEC3491
Synopsis: Discrete random variables, probability distributions, methods of estimation. Regression, prediction, and correlation analysis. Experimental techniques including accuracy of measurements and analysis of finite length records. Stochastic processes, convolution, Fourier analysis, digital spectral analysis, with applications to mechanical engineering problems.
Assessment: Examinations: 80% + Assignments: 20%